联合认知系统：设计更安全、更具复原力的自动化系统的具有影响力的想法

IF 3.3 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

IEEE Software Pub Date : 2024-04-05 DOI:10.1109/ms.2024.3362648

Laura Maguire

引用次数: 0

摘要

在上一篇关于 "故障模式 "的文章中，我们探讨了可观察性和可解释性如何成为可靠的人机团队的关键设计要素，但这些要素还不够充分。在这篇文章中，我们将认知系统工程的理念和研究与具有重大影响的设计原则相结合，以提高高度自动化和智能化系统的安全性和可靠性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Joint Cognitive Systems: Ideas With Impact for Designing Safer, More Resilient Automated Systems

In the last Failure Mode article, we looked at how observability and explainability are critical—but insufficient—design elements of a reliable human-machine team. In this article, we connect ideas and research from cognitive systems engineering into high-impact design principles for improving safety and reliability of highly automated and intelligent systems.

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来源期刊

IEEE Software 工程技术-计算机：软件工程

CiteScore

5.50

自引率

6.10%

发文量

182

审稿时长

6-12 weeks

期刊介绍： IEEE Software delivers reliable, useful, leading-edge software development information to keep engineers and managers abreast of rapid technology change. Its mission is to build the community of leading software practitioners. The authority on translating software theory into practice, this magazine positions itself between pure research and pure practice, transferring ideas, methods, and experiences among researchers and engineers. Peerreviewed articles and columns by seasoned practitioners illuminate all aspects of the industry, including process improvement, project management, development tools, software maintenance, Web applications and opportunities, testing, and usability. The magazine''s readers specify, design, document, test, maintain, purchase, engineer, sell, teach, research, and manage the production of software or systems that include software. IEEE Software welcomes articles describing how software is developed in specific companies, laboratories, and university environments as well as articles describing new tools, current trends, and past projects'' limitations and failures as well as successes. Sample topics include geographically distributed development; software architectures; program and system debugging and testing; the education of software professionals; requirements, design, development, testing, and management methodologies; performance measurement and evaluation; standards; program and system reliability, security, and verification; programming environments; languages and language-related issues; Web-based development; usability; and software-related social and legal issues.